Metasploit Framework — agentic threat model
This agent acts as an offensive security assistant driving the Metasploit Framework, presenting extreme risk if compromised due to its direct integration with exploit execution, payload generation, and post-exploitation tooling.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — The underlying foundation model is not specified, but it faces high risks of jailbreaking or adversarial alignment bypasses to generate malicious exploit payloads or bypass safety filters.
Not certain from the listing — The data operations layer likely relies on local Metasploit module databases and documentation; poisoning these sources could lead the agent to execute malicious or backdoored modules.
The agent framework orchestrates highly sensitive tools (msfconsole, msfvenom). Insecure tool integration or prompt injection could allow an attacker to execute arbitrary shell commands on the host running the agent.
Not certain from the listing — The deployment infrastructure requires strict sandboxing and network isolation, as the agent drives active network exploitation tools that could compromise the host or local network if hijacked.
Not certain from the listing — There is no mention of logging, guardrails, or observability mechanisms to monitor and intercept unauthorized or destructive exploit commands generated by the agent.
Not certain from the listing — The agent lacks visible compliance controls, authorization policies, or human-in-the-loop (HITL) enforcement to prevent unauthorized offensive actions.
Not certain from the listing — The ecosystem risk is low to moderate unless this skill is chained with other autonomous agents that can trigger exploit workflows without human oversight.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).